Title: Home Health Care and Assisted Living
1Home Health Care and Assisted Living
- Professor John A. Stankovic
- Department of Computer Science
- University of Virginia
2Themes
- Unobtrusive and wireless sensor devices and
networks - Support for many different medical problems
- Individual products
- Complete systems
3Outline
- Examples of Technology for Medicine
- Home Health Care and Assisted Living Stankovic
et. al. - Gait Monitoring Weaver et. al.
- Body Sensor Networks Lach et. al.
- Smart Walker Russell et. al.
4The Problems
- Home Health Care
- (Large Scale) Assisted Living Facilities
5Smart Living Space
6The SEAS Vision
- Flexible targeting of care to a persons health
condition - Environmental and Physiological Data
- Longitudinal Studies
7The SEASMedicine Vision
- Flexible targeting of care to a persons health
condition - Stroke, Parkinsons, Diabetes, Dementia,
- Environmental and Physiological Data
- (Define new) Longitudinal Studies
8With Harvard
9With Harvard
10With MARC UVA Medical School
11SATIRE
With the Univ. of Illinois
12Other Sensor Data
- Physiological
- Pulse
- SpO2
- ECG
- Blood Pressure
- Weight
- (Dust/Pollen)
- Activities
- Walking
- Sitting
- Falling
13GaitMate Gait AnalysisMark Williams, MD, and
Alfred Weaver, PhD
Attach accelerometers to ankles and sacrum wire
to data recorder next generation equipment is
wireless
Collect 3D motion data from four sensors as
patient walks down hallway, turns around, and
walks back
Software analyzes waveform and automatically
identifies significant events, e.g. heal strike,
toe-off
Physician analyzes graphs to diagnose or predict
disease (e.g., Parkinsons)
14Body Sensor Networks for Monitoring and Assessing
Movement DisordersPI John Lach
(jlach_at_virginia.edu)Graduate students Adam
Barth, Mark Hanson, Harry Powell
- Application examples
- Tremor assessment for Parkinsons Disease and
Essential Tremor study, diagnosis, treatment - Gait analysis for movement disorder diagnosis and
fall risk assessment - Assessing efficacy of Cerebral Palsy physical
therapy treatments - Key system metrics
- Wearable (small, light, easy to use)
- Low power (long lifetime with small battery)
- Configurable (system can be adapted for specific
applications)
Wireless sensor node
Tremor frequency domain analysis example (high
energy at 5Hz reveals tremor)
15NSF WALKER TEAM
16(No Transcript)
17Home Health Care and Assisted Living
- AlarmNet emulated assisted living facility
18PDA Real-Time Queries
AlarmGate SW on stargate
19Circadian Rhythms
Circadian activity rhythm per room for 70 days
20Behavioral Deviation
Diurnal/nocturnal activity
Life Habits at-home
Learning period
21Summary/Vision
- Tailored to Patient Health
- Stroke, Parkinsons, Diabetes, Incontinence,
- Improve Health Care
- Improve Quality of Life
- Reduce Medical Errors
- Continuous Monitoring
- More natural settings
- More complete
- Collect Data for Longitudinal Studies
22Summary/Vision
- Unobtrusive body networks (smart clothes)
- Seemlessly integrate into larger wireless sensor
network - Combine Environment, Activities and Individual
Physiological Data - Provide continuous 24/7 care, if needed and as
needed - Detect anomalies and react
- Learn correlations to prevent disease
- Effectiveness of treatment